Skip to main content
Glama
wynandw87

Perplexity MCP Server

by wynandw87

brainstorm

Generate solutions and ideas for any topic by grounding in real-time web information and current trends.

Instructions

Brainstorm solutions with Perplexity, informed by real-time web data and current trends. Trigger: 'perplexity brainstorm', 'brainstorm with perplexity', or 'perplexity ideas'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesThe topic to brainstorm about
contextNoAdditional context
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description mentions that the tool is 'informed by real-time web data and current trends', indicating it uses web search. However, without annotations, it lacks disclosure about potential external service dependencies, rate limits, or the nature of the AI-generated responses, which is important for a brainstorming tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with only two sentences plus a list of trigger phrases, and the purpose is front-loaded. Every sentence adds value, making it efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (brainstorming with external web data), the description is too brief. It does not explain the expected output format, the role of Perplexity, or any limitations of the brainstorming process. The absence of annotations and output schema makes the description feel incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with clear descriptions for 'topic' and 'context' including max lengths. The description does not add additional meaning beyond the schema, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool is for brainstorming with Perplexity using real-time web data, providing a specific verb and resource. However, it does not explicitly differentiate from sibling tools like 'ask' or 'search', which could have overlapping use cases.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes trigger phrases that imply when to use the tool, but it does not provide explicit guidance on when not to use it or suggest alternative tools for other scenarios. The usage context is implied but not formally stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/wynandw87/claude-code-perplexity-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server